public void Bagged_DecisionTree_all_training_samples()
{
initData_Jason_Bagging();
BuildBaggedDecisionTree build =
new BuildBaggedDecisionTree();
ModelBaggedDecisionTree model =
(ModelBaggedDecisionTree)build.BuildModel(
_trainingData,
_attributeHeaders,
_indexTargetAttribute);
build.SetParameters(20);
int count = 0;
for (int row = 0; row < _trainingData[0].Length; row++)
{
double[] data = GetSingleTrainingRowDataForTest(row);
double value = model.RunModelForSingleData(data);
if (value ==
_trainingData[_indexTargetAttribute][row])
{
count++;
}
}
Assert.IsTrue(count <= 10 && count >= 8);
}
public void Bagged_DecisionTree_single_training_sample_value_0()
{
initData_Jason_Bagging();
BuildBaggedDecisionTree build =
new BuildBaggedDecisionTree();
ModelBaggedDecisionTree model =
(ModelBaggedDecisionTree)build.BuildModel(
_trainingData,
_attributeHeaders,
_indexTargetAttribute);
int row = 0;
double[] data = GetSingleTrainingRowDataForTest(row);
double value = model.RunModelForSingleData(data);
//Can be both 1 or 0
Assert.IsTrue(value == 0 | value == 1);
}